Related work on concept-level explanations. To incorporate a broader perspective on model decision making in sensitive applications such as medical diagnosis or financial forecasting [1]}, [2]}, concept attribution methods have been proposed. These methods provide a higher level abstract notion of explanations by aligning model explanations with human-understandable concepts improving overall reliability.
Several popular methods which automatically learn concepts are detailed [3]}, [4]}, [5]}, [6]}, [7]}. On the other hand providing concept priors have been utilized to align model concepts with human understandable concepts [8]}, [9]}, [10]}.
